Cancer continues to be a global health challenge, demanding innovative solutions to
improve early detection and treatment outcomes. This research project harnesses the power …

As artificial intelligence (AI) theory becomes more sophisticated and its utilization spreads
across daily life, education, and professional settings, the adoption of AI for medical …

Deep learning has revolutionized medical imaging analysis, with YOLOv8 emerging as a
promising tool for various tasks like lesion detection, organ segmentation and disease …

Lung cancer is one of the most common causes of cancer-related death worldwide. Early
detection is essential for better patient outcomes. Both the YOLOv8 algorithm and …

Skin cancer is still a major worldwide health issue, which highlights the necessity for quick
and accurate detection methods. This research introduces a robust skin cancer classification …

Lung cancer poses a significant global public health challenge, emphasizing the importance
of early detection for improved patient outcomes. Recent advancements in deep learning …

Lung cancer poses a significant global public health challenge, emphasizing the importance
of early detection for improved patient outcomes. Recent advancements in deep learning …

Brain tumors are viewed as quite possibly the most hazardous problem in the world. Brain
tumors spread quickly, and if they are not treated promptly, the patient's chances of survival …

In recent years, the You Only Look Once (YOLO) series of object detection algorithms have
garnered significant attention for their speed and accuracy in real-time applications. This …

Since mitosis cells are one of the most important prognostic indicators used to measure the
aggressiveness of cancer, regardless of the type of tissue in which the cancer occurs, it is …